2018 Chicago Fraud & Breach Prevention Summit , Artificial Intelligence & Machine Learning , Events

Using User-Centric Machine Learning to Contain the Insider Threat

Using User-Centric Machine Learning to Contain the Insider Threat

Despite increasing investment in cyber security tools for the data center, we continue to see a rise in data breaches and their related costs, specifically those relating to the insider threat: accidental loss, misdirected content and the malicious insider. These types of incidents contribute up to 80% of all breached records and are often the result of the human mistake and human error factor in handling sensitive data that traditional tools are unable to address - until now.

See Also: OnDemand | Practical Strategies for Accelerating AI Adoption in Cybersecurity

The session explores:

  • The dependency on the end user to manage unstructured data securely;
  • Why that dependency is becoming greater over time;
  • How to think about a user-centric approach to security and give users tools to protect their data and themselves.

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